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outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems, including emerging
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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flexibility as well as a strong motivation to address this challenge using multiple lines of evidence. Tasks and responsibilities: Co-designing and conducting field sampling and measurements, lab experiments
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. Learn more about the department on our website and in our research portal . Your work tasks This PhD stipend will be affiliated with a research and innovation project focusing on health system innovation
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auditory processing. Relate representations learned by AI models to behavioural and brain data using multivariate and representational modelling approaches. Contribute to the design and execution
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lifetime under realistic operating conditions. The research will support improved insulation design and qualification for reliable next-generation electric motors, contributing to safer, higher-performance
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; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting pathogen invasion success and plant
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across